Evidence map›Paper›PMID 33627950›Full record

ArticleJournal of toxicologic pathology2021

Characterization of an interdigitating dendritic cell hyperplasia case in a lymph node of a control C57BL/6 mouse.

Elodie Rouillé, Héloïse Bilbault, Clément Levin, Stéphane Lezmi

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Journal of toxicologic pathology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 50% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Elodie RouilléOniris, Nantes Atlantic College of Veterinary Medicine, Food Science and Engineering, 101 route de Gachet, 44307 Nantes, France.
Héloïse BilbaultInvestigative Pathology and Safety Biomarkers, Ipsen Innovation, R&D, 5 avenue du Canada, 91940 Les Ulis, France.
Clément LevinInvestigative Pathology and Safety Biomarkers, Ipsen Innovation, R&D, 5 avenue du Canada, 91940 Les Ulis, France.
Stéphane LezmiInvestigative Pathology and Safety Biomarkers, Ipsen Innovation, R&D, 5 avenue du Canada, 91940 Les Ulis, France.
Ipsen (France) · FROniris · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interdigitating dendritic cell (IDC) hyperplasia is considered a benign spontaneous condition occasionally observed in the lymph nodes of mice. It has been rarely reported and, to the best of our knowledge, it has never been characterized using immunohistochemistry. The present work describes a spontaneous IDC hyperplasia case in a lymph node of a 16-week-old control female C57BL/6 mouse. Microscopically, the lymph node architecture was completely effaced by the proliferation of eosinophilic spindle cells with an abundant pale cytoplasm forming trabecule admixed lymphocyte infiltrates. The spindle cell population was positive for F4/80, partially positive for S100 calcium-binding protein A4 (S100A4), slightly positive for E-cadherin, and negative for α-Smooth muscle actin (SMA) and cytokeratin. Lymphocytes were positive for CD3, CD4, CD20 and negative for CD8. Spindle cells were considered to be originated from the myeloid lineage, based on the immunohistochemistry (IHC) results, but their precise origin remains unclear (IDC or macrophages); even if macrophage origin is most likely based on F4/80 positivity, this remains to be further clarified using other markers.

Indexed as

CD20CD3CD4F4/80interdigitating dendritic cellsmacrophages

Identifiers

PMID33627950
PMCPMC7890166
OpenAlexW3111838737

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.